Activeloop

Activeloop builds Deep Lake, a database for AI that stores multimodal datasets (text, images, video, audio, embeddings) in a deep-learning-optimized format. The primary interface is the open-source Deep Lake Python SDK paired with the Tensor Query Language (TQL); datasets live locally, in your own cloud (S3, Azure, GCP), or in the managed Activeloop Cloud (app.activeloop.ai), which also exposes an alpha Managed Database REST query endpoint.

4 APIs 0 Features

AIVector StoreData LakeMultimodalDeep LearningPython SDK

APIs

Deep Lake SDK (Python)

The open-source `deeplake` Python package (Apache-2.0) is the primary interface to Deep Lake. It creates, reads, writes, versions, and streams multimodal datasets and embeddings...

Tensor Query Language (TQL)

A high-performance, SQL-like query engine (implemented in C++ inside Deep Lake) for filtering datasets and running hybrid embedding-plus-attribute search. TQL queries are execut...

Deep Lake Vector Store

A multimodal vector store, exposed through the Deep Lake Python SDK (`VectorStore`), that stores embeddings with their metadata and supports similarity and hybrid (TQL) search. ...

Activeloop Managed Database REST API

An alpha REST endpoint for the Managed Tensor Database that accepts a TQL query string over HTTP POST and returns query results. Requires a Bearer `ACTIVELOOP_TOKEN` and a datas...

Collections

Activeloop Deep Lake API

OPEN

Pricing Plans

Activeloop Plans Pricing

4 plans

PLANS

Rate Limits

Activeloop Rate Limits

4 limits

RATE LIMITS

FinOps

Activeloop Finops

FINOPS

Resources

👥

GitHubOrganization

Sources

opencollection: 1.0.0
info:
  name: Activeloop Deep Lake API
  version: v1-alpha
  description: Activeloop Deep Lake is a database for AI. Its primary interface is the open-source `deeplake` Python SDK plus
    the Tensor Query Language (TQL); this collection covers the only documented REST surface - the Alpha Managed Database
    query endpoint. For dataset creation, ingestion, versioning, and most queries, use the Python SDK (https://docs.deeplake.ai/)
    and TQL.
request:
  auth:
    type: bearer
    token: '{{ACTIVELOOP_TOKEN}}'
items:
- info:
    name: Managed Database
    type: folder
  items:
  - info:
      name: Run TQL Query (Alpha)
      type: http
    http:
      method: POST
      url: https://app.activeloop.ai/api/query/v1
      headers:
      - name: Content-Type
        value: application/json
      body:
        type: json
        data: '{"query": "select * from \"hub://org_id/dataset_name\" limit 10"}'
    docs: 'Executes a Tensor Query Language (TQL) query against a dataset hosted in the Activeloop Managed Tensor Database
      (requires tensor_db: True). Documented as Alpha; syntax may change without notice. Most Deep Lake usage runs through
      the Python SDK rather than this endpoint.'